This paper proposes a consensus-trust driven framework of bidirectional interaction for
social network large-group decision making. Firstly, the concepts of interaction consensus …

To promote the development of the peer-to-peer (P2P) accommodation in sharing economy,
it is important to understand and ensure the determinants of high-level user satisfaction …

Social network group decision making (SN-GDM) provides valuable support for obtaining
agreed decision results by effectively utilizing the connected social trust relationships among …

Large-scale group decision making (LSGDM) is very common in real world, and especially
how to reach a relatively consensus status in a social network is a hot topic. In this paper, we …

A bargaining game is used to develop feedback mechanism for dynamic social networks
group decision making (SN-GDM). The dynamic trust relationships between experts are …

A new Choquet Integral based interval type-2 (IT 2 TrFS) trapezoidal fuzzy multiple attribute
group decision making (GDM) for Sustainable Supplier Selection (SSS) is put forward in this …

Compared with group decision making (GDM), it is more difficult to reach a consensus in
large-scale group decision making (LSGDM) owing to the large number of decision makers …

Due to complicated decision environment and limited knowledge of decision makers,
decision makers may provide incomplete hesitant fuzzy linguistic preference relations …

The maximum expert consensus model (MECM) is an effective model for achieving
consensus during the consensus reaching process (CRP) in group decision making (GDM) …

Recently, large-scale group decision-making in the social network context has become an
attractive research hotspot in decision science. The focus of large-scale group decision …